Fellow: Fellow is an AI meeting assistant that records, transcribes, and summarizes meetings across Zoom, Google Meet, Teams, and Webex, with automatic action items and an AI agent for follow-ups. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Fellow when automatically capturing notes, decisions, and action items during recurring team meetings matters most, and aTrain when universities and public bodies needing gdpr-friendly local transcription matters most. Run both through a week of actual calls to see which suits your workflow.
Fellow is an AI meeting assistant that records, transcribes, and summarizes meetings across Zoom, Google Meet, Teams, and Webex, with automatic action items and an AI agent for follow-ups.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Fellow (fellow.ai, formerly fellow.app) is an AI meeting assistant focused on privacy and security. It records and transcribes meetings with real-time transcripts in 90+ languages, generates structured summaries, and automatically extracts and assigns action items. Recordings can run with a visible bot or "botless" directly from the desktop apps (Mac/Windows), and mobile apps capture in-person conversations. Its AskFellow AI agent searches across meetings you have access to, then drafts follow-up emails, memos, and CRM updates. Fellow works with Zoom, Google Meet, Microsoft Teams, Webex, Slack Huddles, phone calls, and in-person meetings, and integrates with 50+ tools including Salesforce, HubSpot, Asana, Jira, Linear, Notion, Confluence, Slack, and Zapier. It offers SOC 2, HIPAA, and GDPR compliance. The free plan includes a lifetime cap of 5 AI notes and 5 AI recordings per user.
Best suited for
aTrain is a free, open-source desktop application for offline speech transcription, developed by researchers at the Business Analytics and Data Science Center of the University of Graz in Austria. It provides a graphical interface around OpenAI's Whisper model (via the faster-whisper implementation) so users with no programming experience can transcribe recorded meetings, interviews, lectures, and other audio. Because all processing happens locally on the user's own computer, no audio or text is uploaded to any server, which makes it well suited to privacy-sensitive and GDPR-conscious environments such as universities, public institutions, and research teams. aTrain supports a wide range of languages and adds speaker detection through pyannote.audio so contributions from different participants can be separated. Transcripts can be exported in formats compatible with qualitative-analysis software such as MAXQDA, ATLAS.ti, and NVivo. It runs on Windows (including a Microsoft Store distribution) with GPU acceleration on NVIDIA hardware, and is distributed under the AGPL-3.0 license. It is best for researchers, academics, and organizations that need accurate, local, no-cloud transcription of recorded conversations. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Fellow is from $7/mo (freemium); aTrain is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Fellow | aTrain |
|---|---|---|
| Core capability | AI transcription | Offline, fully local transcription with no data leaving the device |
| Standout feature | Meeting summaries | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Action item tracking | Speaker detection/diarization using pyannote.audio |
| Integrations | Botless recording | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | AskFellow AI agent | Graphical interface requiring no programming skills |
| Best-fit workflow | AI transcription | NVIDIA GPU acceleration support |
Fellow
Choose Fellow if you need automatically capturing notes, decisions, and action items during recurring team meetings — strengths include records and transcribes across zoom, google meet, teams, webex, plus phone and in-person meetings.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Fellow
aTrain
It depends on your workflow. Fellow is strong for automatically capturing notes, decisions, and action items during recurring team meetings, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
Fellow is from $7/mo and aTrain is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
More head-to-head comparisons involving Fellow and aTrain.
Fellow brings agenda, privacy controls and a bot-or-bot-free option; Fathom brings a frictionless free recorder. Control versus simplicity.
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